SNR Analyses of the Multi-Spectral Light Channels for Optical Wireless LED Communications in Intelligent Transportation System

Author

Ji-Hwan Lee ; Sung-Yoon Jung

Author_Institution

Dept. of EE, Yeungnam Univ., Gyeongsan, South Korea

fYear

2014

fDate

18-21 May 2014

Firstpage

1

Lastpage

5

Abstract

In this paper, we provide Signal-to-Noise Ratio (SNR) analyses of multi-spectral light channels reflecting practical conditions for the usage of Optical Wireless LED Communication (OWLC) in Intelligent Transportation System (ITS). Considering practical LED lights (Headlamp and Street lamp) and their light distribution regulations, we design four Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) cases via CATIA V5 tool. Through simulations, we investigate the possibilities of OWLC according to the spectrum range (ultraviolet, visible light and infrared spectrums) at day and night time.

Keywords

intelligent transportation systems; light emitting diodes; optical communication; radio spectrum management; telecommunication computing; vehicular ad hoc networks; CATIA V5 tool; ITS; OWLC; SNR analyses; V2I application; V2V application; headlamp; infrared spectrum; intelligent transportation system; light distribution regulation; multispectral light channel; optical wireless LED communication; signal-to-noise ratio analyses; street lamp; ultraviolet spectrum; vehicle-to-infrastructure application; vehicle-to-vehicle application; visible light spectrum; Light emitting diodes; Receivers; Roads; Signal to noise ratio; Vehicles; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th

Conference_Location

Seoul

Type

conf

DOI

10.1109/VTCSpring.2014.7023099

Filename

7023099